Law Commons^™

Machine Speech: Towards A Unified Doctrine Of Attribution And Control, Brian Sites

University of Miami Law Review

Like many courts across the country in 2023, courts in the Eleventh Circuit were met with novel claims challenging ChatGPT and other artificial intelligence tools. These cases raise common questions: How should courts treat the speech of machines? When a machine generates allegedly defamatory material, who is the speaker—mortal or machine? When a machine generates expressive creations, who is the artist, and does that shape copyright eligibility? When a machine makes assertions about reality through lab analyses and other forensic reports, who is the accuser, and how does the answer impact a defendant’s rights at trial? Should those answers stem …

Machines Like Me: A Proposal On The Admissibility Of Artificially Intelligent Expert Testimony, Andrew W. Jurs, Scott Devito

Pepperdine Law Review

With the rapidly expanding sophistication of artificial intelligence systems, their reliability, and cost-effectiveness for solving problems, the current trend of admitting testimony based on artificially intelligent (AI) systems is only likely to grow. In that context, it is imperative for us to ask what rules of evidence judges today should use relating to such evidence. To answer that question, we provide an in-depth review of expert systems, machine learning systems, and neural networks. Based on that analysis, we contend that evidence from only certain types of AI systems meet the requirements for admissibility, while other systems do not. The break …

Why Outlaw Laws?: An Argument For A Probationary Period For Lethal Autonomous Weapons Systems Under Meaningful Human Control., Katherine E. Vuyk

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Robots As Pirates, Henry H. Perritt Jr.

Catholic University Law Review

Generative AI has created much excitement over its potential to create new works of authorship in the literary and graphical realms. Its underling machine-learning technology works by analyzing the relations among elements of preexisting material in enormous databases assembled from publicly available and licensed sources. Its algorithms “learn” to predict “what comes next” in different types of expression. A complete system thus can become glib in creating new factual summaries, essays, fictional stories and images.

A number of authors of the raw material used by Generative AI engines claim that the machine learning process infringes their copyrights. Careful evaluation of …

Turning Fake Data Into Fake News: Ai Training Set As A Trojan Horse Of Misinformation, Bill Tomlinson, Donald J. Patterson, Andrew W. Torrance

San Diego Law Review

Generative artificial intelligence (AI) offers tremendous benefits to society. However, these benefits must be carefully weighed against the societal damage AI can also cause. Dangers posed by inaccurate training sets have been raised by many authors. These include racial discrimination, sexual bias, and other pernicious forms of misinformation. One remedy to such problems is to ensure that training sets used to teach AI models are correct and that the data upon which they rely are accurate. An assumption behind this correction is that data inaccuracies are inadvertent mistakes. However, a darker possibility exists: the deliberate seeding of training sets with …

Artificial Intelligence And Legal Malpractice Liability, Vincent R. Johnson

St. Mary's Journal on Legal Malpractice & Ethics

No abstract provided.

The Author-Ity Of Ai: Navigating The Legal Landscape Of Artificial Intelligence Authorship, John R. Sepúlveda

Touro Law Review

This Article discusses the problems that arise when trying to protect works that involve generative AI. It will detail how authorship currently is interpreted under U.S. law and how the courts and the U.S. Copyright Office interpret the authorship requirement. This Article will also present some practical tips on how to navigate current U.S. law and obtain a copyright registration.

An Exacerbated Power Imbalance: The Danger In Allowing Ai To Render Arbitral Awards In Employment Arbitration, Elizabeth G. Stein

Mitchell Hamline Law Review

No abstract provided.

The Copyright Requirement Of Human Authorship For Works Containing Artificial Intelligence-Generated Content, Runhua Wang

IP Theory

The U.S. Copyright Office (the “Office”) unwaveringly refuses to register copyrights for artworks created by artificial intelligence (“AI”) systems. The prima facie reason is a lack of authorship because the U.S. copyright regime recognizes only humans as authors. However, the fundamental reason lies in the fact that legislators have not yet determined whether to grant copyrights to AI users. Despite adjustments made by the Office in response to the use of AI systems in creation, the agency’s implementation of copyright statutes suggests that it remains extremely conservative, rejecting any AI-generated content (“AIGC”) from copyright registration.

Will the copyright regime continue …

How Can Law Enforcement Use Technology To Protect Citizens Justly?, Zach Kantenwein

Emerging Writers

This paper explores the danger of emerging artificial intelligence technology perpetuating racial injustice in law enforcement and how police can ensure the protection of citizens amid this information age. We dissect a real-world case in which AI predictive policing technology resulted in alarming racial discrimination against American minority citizens. We discuss the possible explanations for this result and explore the limitations of artificial intelligence technology. Furthermore, we brainstorm methods for ensuring American citizens' just and constitutional protection as new technology is developed and tested. We propose implementing transparency laws that make the details about any policing technology and surveillance available …

Applying Current Copyright Law To Artificial Intelligence Image Generators In The Context Of Anderson V. Stability Ai, Ltd., Matthew Lindberg

Cybaris®

No abstract provided.

Ai-Ip? Copyright In An Age Of Internet Propaganda With Artificial Intelligence, Sonya Saepoff

Cybaris®

No abstract provided.

The Generative Ai Pirate? The Intersection Of Copyrights And Generative Ai In Literary Works, Brianne M. Culliton

Cybaris®

No abstract provided.

Machine Manipulation: Why An Ai Editor Does Not Serve First Amendment Values, Alec Peters

University of Colorado Law Review

The past few years have seen increasing calls for regulation of large social media platforms, and several states have recently enacted laws regulating their content moderation, promotion, and recommendation practices. But if those platforms are exercising editorial discretion when carrying out these tasks, many of the regulations will run into constitutional concerns: the First Amendment protects the “exercise of editorial control and judgment” by publishers over their choice of content and how it is presented. However, the editorial operation of social media platforms differs significantly from traditional media, most importantly in the use of artificial intelligence (AI) for editorial decision-making. …